首页> 外文期刊>Bone >Factors associated with screening or treatment initiation among male United States veterans at risk for osteoporosis fracture
【24h】

Factors associated with screening or treatment initiation among male United States veterans at risk for osteoporosis fracture

机译:有骨质疏松症骨折风险的美国退伍军人中进行筛查或开始治疗的相关因素

获取原文
获取原文并翻译 | 示例
           

摘要

Male osteoporosis continues to be under-recognized and undertreated in men. An understanding of which factors cue clinicians about osteoporosis risk in men, and which do not, is needed to identify areas for improvement. This study sought to measure the association of a provider's recognition of osteoporosis with patient information constructs that are available at the time of each encounter. Using clinical and administrative data from the Veterans Health Administration system, we used a stepwise procedure to construct prognostic models for a combined outcome of osteoporosis diagnosis, treatment, or a bone mineral density (BMD) test order using time-varying covariates and Cox regression. We ran separate models for patients with at least one primary care visit and patients with only secondary care visits in the pre-index period. Some of the strongest predictors of clinical osteoporosis identification were history of gonadotropin-releasing hormone (GnRH) agonist exposure, fragility fractures, and diagnosis of rheumatoid arthritis. Other characteristics associated with a higher likelihood of having osteoporosis risk recognized were underweight or normal body mass index, cancer, fall history, and thyroid disease. Medication exposures associated with osteoporosis risk recognition included opioids, glucocorticoids, and antidepressants. Several known clinical risk factors for fracture were not correlated with osteoporosis risk including smoking and alcohol abuse. Results suggest that clinicians are relying on some, but not all, clinical risk factors when assessing osteoporosis risk.
机译:男性骨质疏松症在男性中仍然未被充分认识和治疗。需要了解哪些因素会提示临床医生有关男性骨质疏松症的风险,哪些因素不影响,以找出需要改善的地方。这项研究试图衡量提供者对骨质疏松症的认识与每次相遇时可获得的患者信息结构的关联。利用来自退伍军人卫生管理局系统的临床和行政数据,我们使用逐步程序构建了时变协变量和Cox回归的骨质疏松症诊断,治疗或骨矿物质密度(BMD)测试顺序的联合结果的预后模型。我们针对指标前期至少进行一次初级保健访问和仅进行二级保健访问的患者运行了单独的模型。临床上骨质疏松症鉴定的最强预测指标是促性腺激素释放激素(GnRH)激动剂暴露史,脆性骨折和类风湿关节炎的诊断。与骨质疏松症风险更高可能性相关的其他特征是体重不足或正常体重指数,癌症,跌倒病史和甲状腺疾病。与骨质疏松症风险识别相关的药物暴露包括阿片类药物,糖皮质激素和抗抑郁药。一些已知的骨折临床危险因素与包括吸烟和酗酒在内的骨质疏松症风险无关。结果表明,临床医生在评估骨质疏松症风险时依赖于某些而非全部临床风险因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号